A toolset for black-box hyperparameter optimisation.
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Jan 26, 2020 - Python
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gpyopt
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Bayesian Optimization for Categorical and Continuous Inputs
machine-learning optimization thompson-sampling hyperparameter-optimization hyperopt gaussian-processes bayesian-optimization multi-armed-bandits hyperparameter-tuning automl automated-machine-learning smac categorical-variables continuous-variable acquisition-functions gpyopt batch-bayesian-optimization
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Jul 20, 2020 - Python
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
cnn pytorch bayesopt convolutional-neural-networks bayesian-optimization tensorly tucker model-compression cnn-compression network-acceleration rank-selection model-acceleration neural-network-compression gpyopt low-rank network-compression-acceleration
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Mar 21, 2021 - Python
Gaussian process optimization using GPyOpt for Unity ML-Agents Toolkit
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Jul 23, 2018 - Python
Group project for my CST Part III Machine Learning and the Physical World (L48) module
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Feb 27, 2022 - Python
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